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Table 1 Statistics for the characteristics of respondents

From: Socio-economic inequalities in health service utilization among Chinese rural migrant workers with New Cooperative Medical Scheme: a multilevel regression approach

Variables Number/Mean Percentage/SD
Outcome Variables
 Two-week outpatient
  Yes 210 6.32
  No 3112 93.68
 Inpatient probability
  Yes 196 5.90
  No 3126 94.10
Individual characteristics
 Age group
  15 ~ 36 1303 39.22
  36 ~ 50 1199 36.09
  50 ~ 64 820 24.68
 Gender
  Men 1910 57.50
  Women 1412 42.50
 Living arrangement
  Live with spouse 500 15.05
  Live without spouse 2822 84.95
 Educational attainment
  Below primary school 923 27.78
  Primary school 1619 48.74
  Middle school and above 780 23.48
 Technical certificate
  Yes 422 12.70
  No 2900 87.30
 Type of industry
  Professional technician/Clerical staff 248 7.47
  Service stuff 1177 35.43
  Manufacturing and construction 1041 31.34
  Freelancer 856 25.77
 Type of unit
  Party/government/state-owned 300 9.03
  Collective enterprises and institutions 1327 39.95
  Self-employed and freelance 1695 51.02
 Working hours
  Moderate labor 1471 44.28
  Excessive labor 1851 55.72
 Place of work
  In the county/district 2721 81.91
  Across the county/district 601 18.09
  Income quintiles 664 19.99
  Poorest 665 20.02
  Poorer 664 19.99
  Middle 665 20.02
  Richer 664 19.99
  Richest 664 19.99
 Injury insurance
  Yes   
  No 293 8.82
  number of friends 3029 91.18
  <  = 5   
  6 ~ 10 1904 57.31
   >  = 11 811 24.41
  SAH 607 18.27
 Good
  Fair 2285 68.78
  Poor 837 25.20
health behavior
 Smoke
  Yes 1192 35.88
  No 2130 64.12
 Alcohol use
  Yes 831 25.02
  No 2491 74.98
 Regular exercise every month
  Yes 818 24.62
  No 2504 75.38
Health outcome
 Sense of happiness
  Unhappy
  Fair 215 6.47
  Happy 1014 30.52
Contextual characteristic
 Proportion of ethnic minorities 1.000 0.006
 Per capita in the community 1.000 2.02 × 10–4
 Region
  East 2074 62.43
  Middle 639 19.24
  West 609 18.33
 City level
  Sub-provincial city and above 570 17.16
  Other 2752 82.84
  Number of medical institutions for 10,000 people in the community 5.60 18.48
  Number of medical institutions for 10,000 people in the city 2601.65 4597.18
  Number of doctors for 10,000 people in the city 7.48 12.24
  Number of beds for 10,000 people in the city 0.70 1.33
  Health index of the community 54.34 19.24
  Service quality index of the community 83.94 44.33
  Urban service quality index -0.05 0.64
  Intercept 0.07 0.24
  1. SD standard deviation
  2. Reference levels in the regressions